LoBoFit refits high-resolution garments to new avatars with large shape and pose differences by blending local bone mappings, preserving wrinkles and fit style better than prior global optimization or data-driven methods.
Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.GR 2years
2026 2representative citing papers
citing papers explorer
-
LoBoFit: Flexible Garment Refitting via Local Bone Mapping Blending
LoBoFit refits high-resolution garments to new avatars with large shape and pose differences by blending local bone mappings, preserving wrinkles and fit style better than prior global optimization or data-driven methods.
- HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioning